A Study on the Parallelism of Synchronous Ranked Neural Networks in CUDA System
碩士 === 國立交通大學 === 電信工程研究所 === 100 === In this thesis, we using the compute unified device architecture (CUDA) which NVIDIA announced a graphic processor unit (GPU) computing architecture to simulate the feature that synchronous ranked neural network (SRNN) can be updated synchronously. And aim at th...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2012
|
Online Access: | http://ndltd.ncl.edu.tw/handle/75845188881895770189 |